All DUK admission programmes
This standalone archive preserves the full 2026 programme catalogue and Programme Finder. The main admissions page may highlight only currently active spot-admission programmes, while this page keeps all programme cards available for reference.
Programme Finder
Browse programmes alphabetically within each programme type, or use the guide to find the most suitable option for you. Select a programme to view its 2026 eligibility, fees, admission tests, and details. Guided recommendations are indicative and should be read with the published programme eligibility. This complete catalogue is retained for reference; check the admissions homepage for the currently notified programme availability and candidate status.
MBA
MBA (For Working Professionals)
Flexible MBA for employed learners · Minimum 2 years work
experience required
MBA
Eligibility: Graduates who also satisfy the work experience requirement. CUET-PG 2026: Candidates with a valid CUET-PG 2026 score, including candidates who appeared for LAQP01 (English), may apply for MBA, subject to the published academic eligibility criteria and selection process. Same broad elective structure as the regular MBA, adapted for working professionals.
MBA (Full Time)
School of Digital Humanities and Liberal Arts · General MBA
with elective pathways
MBA
Eligibility: Three-year bachelor's or two-year master's degree with the prescribed score. CUET-PG 2026: Candidates with a valid CUET-PG 2026 score, including candidates who appeared for LAQP01 (English), may apply for MBA, subject to the published academic eligibility criteria and selection process. Elective pathways: Business Analytics, Digital Governance, Technology Management, Information Security Management, Digital Transformation, and related areas.
MBA (Supply Chain Management and Logistics)
Specialised pathway in supply chain, operations, and logistics
MBA
Eligibility: Graduates who satisfy the published MBA admission requirements. CUET-PG 2026: Candidates with a valid CUET-PG 2026 score, including candidates who appeared for LAQP01 (English), may apply for MBA, subject to the published academic eligibility criteria and selection process. Focus: Procurement, operations, transportation, warehousing, distribution, supply chain analytics, sustainable logistics, and a capstone internship-thesis in the final semester.
MSc (1 year)
MSc Advanced Artificial Intelligence (1 year)
One-year pathway in advanced AI spanning deep learning, NLP, computer vision, and intelligent data analysis.
1 Year
4-year / 8-semester Bachelor’s degree at NHEQF 6.0 level
4-year B.E. / B.Tech with minimum 160 credits
2-year Master’s degree, including a completed 2-year MSc, with at least 60% aggregate marks (or equivalent)
5-year integrated Master’s degree
Minimum aggregate of 70% marks (or equivalent) in a four-year undergraduate degree, or 60% marks (or equivalent) in a postgraduate degree.
A one-year postgraduate pathway in advanced artificial intelligence with emphasis on machine learning, intelligent systems, and applied AI workflows.
MSc Cyber Security (1 year)
Intensive one-year pathway in cyber defence, secure systems, and protecting digital infrastructure.
1 Year
4-year / 8-semester Bachelor’s degree at NHEQF 6.0 level
4-year B.E. / B.Tech with minimum 160 credits
2-year Master’s degree, including a completed 2-year MSc, with at least 60% aggregate marks (or equivalent)
5-year integrated Master’s degree
Minimum aggregate of 70% marks (or equivalent) in a four-year undergraduate degree, or 60% marks (or equivalent) in a postgraduate degree.
A one-year postgraduate pathway in cyber security with advanced study in secure systems, digital defence, and applied cyber practice.
MSc Environmental Sustainability (1 year)
Net-zero pathways, circular economy, sustainability analytics
1 Year
4-year / 8-semester Bachelor’s degree at NHEQF 6.0 level
4-year B.E. / B.Tech with minimum 160 credits
1-year or 2-year postgraduate degree, including a completed MSc where applicable, with at least 60% aggregate marks (or equivalent)
5-year integrated Master’s degree
Minimum aggregate of 70% marks (or equivalent) in a four-year undergraduate degree, or 60% marks (or equivalent) in a postgraduate degree.
Focus: Net-zero pathways, circular economy, sustainability analytics, and life cycle assessment. Designed for eligible entrants under the notified one-year postgraduate framework.
MSc
MSc Applied Physics (Applied Materials) – Specialization in AI and Advanced Materials
AI and advanced materials pathway under the School of Electronics Systems and Automation Engineering.
MSc
Eligibility: A 3-year or 4-year Bachelor's degree in science, engineering, or mathematics with a minimum aggregate of 60% marks (or equivalent). Focus: Quantum and solid-state foundations, applied materials, characterisation, and computational materials studies.
MSc Computer Science (Artificial Intelligence)
School of Computer Science and Engineering · Artificial intelligence pathway
MSc
Eligibility: Any 3-year / 6-semester Bachelor’s degree at NHEQF 5.5 level or any 4-year / 8-semester Bachelor’s degree at NHEQF 6.0 level, with at least 60% aggregate marks (or equivalent). Reservation relaxation as per applicable norms. Focus: A postgraduate programme focused on artificial intelligence, covering core computational methods, machine learning foundations, intelligent systems, and advanced AI applications.
MSc Computer Science (Cyber Security)
School of Computer Science and Engineering · Cyber security pathway
MSc
Eligibility: Any 3-year / 6-semester Bachelor’s degree at NHEQF 5.5 level or any 4-year / 8-semester Bachelor’s degree at NHEQF 6.0 level, with at least 60% aggregate marks (or equivalent). Reservation relaxation as per applicable norms. Focus: A postgraduate programme focused on cyber security, including secure systems, network security, information assurance, and contemporary security practice.
MSc Computer Science (Data Analytics)
School of Digital Sciences · Data analytics and machine
learning orientation
MSc
Eligibility: Three-year or four-year bachelor's degree in Science, Engineering, or Mathematics with Mathematics or Statistics as one of the subjects. Focus: Data analytics, data mining, knowledge discovery, machine learning, and deep learning.
MSc Data Science and BioAI
School of Digital Sciences · AI and life-science intersection
MSc
Eligibility: Applicants from Science, Engineering, Mathematics, Medicine, or Pharmacy backgrounds. Focus: Multi-omics, molecular sciences, drug design, and healthcare applications of Artificial Intelligence.
MSc Data Science and Computational Modelling
School of Digital Sciences · Quantitative and
simulation-oriented programme
MSc
Eligibility: Science, Engineering, or Mathematics graduates with Mathematics or Statistics in their qualifying degree. Focus: Data science, machine learning, scientific simulation, and large-scale computational modelling.
MSc Data Science and FinTech
School of Digital Sciences · Finance, analytics, and
computational decision-making
MSc
Eligibility: Science, Engineering, or Mathematics graduates with Mathematics or Statistics in their qualifying degree. Focus: Financial markets, risk management, derivative pricing, predictive analytics, and algorithmic trading.
MSc Data Science and Geoinformatics
School of Digital Sciences · Geospatial and Geo-AI programme
MSc
Eligibility: Relevant Science, Engineering, or Mathematics graduates. Focus: Geospatial data, predictive analytics, urban planning, environmental monitoring, disaster response, and precision agriculture.
MSc Data Science and Product Development
Regular MSc pathway combining data science with product development.
MSc
Eligibility: Three-year or four-year bachelor's degree in Science or Engineering, with Mathematics or Statistics as one of the core subjects, and a minimum aggregate of 60% marks (or equivalent), with relaxation as per published norms. Details: See the official programme page for current details.
MSc Ecology (Ecological Informatics)
School of Informatics · Ecology supported by data and
computation
MSc
Eligibility: Either a 3-year or 4-year Bachelor's degree with at least 60% marks or equivalent, with relaxation for reserved categories as per University norms. Focus: Ecology together with ecological informatics and technology-enabled environmental analysis.
MSc Electronics (VLSI and Embedded Systems) – Specialization in AI and VLSI
AI and VLSI pathway under the School of Electronics Systems and Automation Engineering.
MSc
Eligibility: A 3-year or 4-year Bachelor's degree in science, engineering, or mathematics with a minimum aggregate of 60% marks (or equivalent). Focus: Chip design, embedded architectures, AI hardware, neural processors, VLSI systems, and verification workflows.
MSc Environmental Science
Four specialisation pathways — Environmental Data Science,
Ecological Informatics, Sustainability Studies, Environmental Communication
MSc
Eligibility: Either a 3-year or 4-year Bachelor's degree with at least 60% marks or equivalent, with relaxation for reserved categories as per University norms. Specialisations: Environmental Data Science, Ecological Informatics, Sustainability Studies, and Environmental Communication.
MTech
MTech Computer Science and Engineering (Artificial Intelligence)
School of Computer Science and Engineering · Artificial intelligence specialisation
MTech
Eligibility: Any of the following with at least 60% aggregate marks: 4-year B.E. / B.Tech in Computer Science and Engineering, Information Technology, Electronics and Communication Engineering, or allied areas; 1-year or 2-year postgraduate degree such as MSc / MCA in Computer Applications, Computer Science, Information Technology, Mathematics, Statistics, Physics, or allied areas, with at least 60% aggregate marks (or equivalent); or 5-year integrated Master’s degree in allied areas. Focus: A specialised MTech programme in artificial intelligence, with advanced study in intelligent computation, machine learning systems, and applied AI.
MTech Computer Science and Engineering (Cyber Security Engineering)
School of Computer Science and Engineering · Cyber security engineering specialisation
MTech
Eligibility: Any of the following with at least 60% aggregate marks: 4-year B.E. / B.Tech in Computer Science and Engineering, Information Technology, Electronics and Communication Engineering, or allied areas; 1-year or 2-year postgraduate degree such as MSc / MCA in Computer Applications, Computer Science, Information Technology, Mathematics, Statistics, Physics, or allied areas, with at least 60% aggregate marks (or equivalent); or 5-year integrated Master’s degree in allied areas. Focus: A specialised MTech programme in cyber security engineering, with emphasis on secure computing, resilient systems, and advanced cyber defence.
MTech Electronics Engineering (VLSI Design) – Specialization in AI Hardware
School of Electronics Systems and Automation Engineering ·
AI hardware and electronics-specific entry rules
MTech
Eligibility: (a) A 4-year Bachelor's degree in EE, ECE, AEI, EI, Robotics, or equivalent electronics hardware branches; or (b) a 3-year undergraduate degree followed by a 2-year postgraduate degree, or a 5-year integrated Master's degree, in Electronics, Instrumentation, or equivalent fields. Important: Applicants from CS, CSE, IT, and similar computing-focused branches are not eligible. Focus: AI hardware, VLSI systems, and advanced electronics engineering.
* AICTE has approved a total of 90 seats for the School of Computer Science and Engineering MTech programmes. A common rank list may be prepared, and the intake of each programme may be adjusted accordingly.
PhD
PhD — Full-time Regular
Doctoral research across multiple schools and disciplines
PhD
Eligibility: For General category candidates, a 2-year or longer Master’s degree with 60% marks, or an MPhil degree with 60% coursework marks, in a discipline relevant to the school applied to. Eligible reserved categories require 55% marks. Additional fees: Selected candidates pay an initial admission fee of ₹10,000 and a refundable caution deposit of ₹5,000. A relaxation of 5% marks / equivalent grade applies for eligible reserved categories as per norms.
PhD — Industry Regular
Doctoral route for full-time industry employees pursuing
industry-linked research
PhD
Eligibility: Same academic eligibility as the Full-time Regular PhD programme, plus at least 5 years of relevant full-time work experience after the Bachelor’s degree and full-time regular employment in industry. Additional fees: Selected candidates pay an initial admission fee of ₹10,000 and a refundable caution deposit of ₹5,000. A relaxation of 5% marks / equivalent grade applies for eligible reserved categories as per norms.
PhD — Part-time
Doctoral route for working professionals in research, teaching,
industry, administration, and allied fields
PhD
Eligibility: Same academic eligibility as the Full-time Regular PhD programme, plus at least 5 years of relevant full-time work experience after graduation. Additional fees: Selected candidates pay an initial admission fee of ₹10,000 and a refundable caution deposit of ₹5,000. A relaxation of 5% marks / equivalent grade applies for eligible reserved categories as per norms.
Your qualification type
Programme you want to pursue
Your discipline / stream
Did your qualifying degree include Mathematics or Statistics?
This helps identify MSc options whose published eligibility requires Mathematics or Statistics in the qualifying degree.
Is your most recent degree in Electronics, Instrumentation, or an equivalent field?
This helps distinguish the narrower published entry route for MTech Electronics Engineering (VLSI Design) – Specialization in AI Hardware.
Work experience
Do you have at least 2 years of relevant work experience?
This distinguishes MBA (For Working Professionals) from the other MBA options.
Eligible Programmes
No eligible programmes are surfaced for this selection on this page.
You can browse the complete programme catalogue in the “All Programmes” tab.
Admissions are based on accepted national-level tests or Digital University Kerala entrance processes, as applicable. Please check programme details for specific requirements.